Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)

Autores
Dondo Bühler, Mariana Beatriz; de Torres Curth, Mónica; Garibaldi, Lucas Alejandro
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Despite the enormous impact of fires on human welfare, few studies evaluated the influence of demographic and socioeconomic conditions on the occurrence of vegetation fires. We used quantile regression to estimate the dependence of fire density (no. ha−1) on demographic and socioeconomic conditions for neighborhoods with contrasting fire density levels (i.e., quartiles), using data of Bariloche, a city with a large wildland–urban interface zone, as a case study. We evidenced that socioeconomic and demographic variables can explain part of the fire density's variability not explained by biophysical variables, through a principal component analysis, and examined the goodness of fit of the model to the data through the Akaike's Information Criterion. Opposite to that observed in natural areas, fire density increased in the recent years in the interface areas. Population density was positively and significantly related to interface fire density, likely representing the effect of anthropic pressure on the environment. Fire density increased with socioeconomic vulnerability, particularly, high unemployment rate, high level of teenagers that neither study nor work, and low educational levels. Therefore, population welfare and education must be the most important target for public policies, even from a fire preventive viewpoint. The demographic and socioeconomic influence on wildland–urban interface fires should be explicitly considered by policymakers, and complement biophysical data to plan land use and regulate forest management, as well as to measure the additional effort needed for firefighting (e.g., investments in infrastructure and extra workers) to attend the greater population.
Fil: Dondo Bühler, Mariana Beatriz. Universidad Nacional de Rio Negro. Sede Andina; Argentina
Fil: de Torres Curth, Mónica. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina
Fil: Garibaldi, Lucas Alejandro. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Ciencias Exactas, Naturales y de Ingenieria; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina
Materia
Fire
Patagonia
Population Density
Quantile Regression
Socioeconomic Vulnerability
Wildland-Urban Interface
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/8916

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spelling Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)Dondo Bühler, Mariana Beatrizde Torres Curth, MónicaGaribaldi, Lucas AlejandroFirePatagoniaPopulation DensityQuantile RegressionSocioeconomic VulnerabilityWildland-Urban Interfacehttps://purl.org/becyt/ford/5.9https://purl.org/becyt/ford/5https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1https://purl.org/becyt/ford/5.7https://purl.org/becyt/ford/5Despite the enormous impact of fires on human welfare, few studies evaluated the influence of demographic and socioeconomic conditions on the occurrence of vegetation fires. We used quantile regression to estimate the dependence of fire density (no. ha−1) on demographic and socioeconomic conditions for neighborhoods with contrasting fire density levels (i.e., quartiles), using data of Bariloche, a city with a large wildland–urban interface zone, as a case study. We evidenced that socioeconomic and demographic variables can explain part of the fire density's variability not explained by biophysical variables, through a principal component analysis, and examined the goodness of fit of the model to the data through the Akaike's Information Criterion. Opposite to that observed in natural areas, fire density increased in the recent years in the interface areas. Population density was positively and significantly related to interface fire density, likely representing the effect of anthropic pressure on the environment. Fire density increased with socioeconomic vulnerability, particularly, high unemployment rate, high level of teenagers that neither study nor work, and low educational levels. Therefore, population welfare and education must be the most important target for public policies, even from a fire preventive viewpoint. The demographic and socioeconomic influence on wildland–urban interface fires should be explicitly considered by policymakers, and complement biophysical data to plan land use and regulate forest management, as well as to measure the additional effort needed for firefighting (e.g., investments in infrastructure and extra workers) to attend the greater population.Fil: Dondo Bühler, Mariana Beatriz. Universidad Nacional de Rio Negro. Sede Andina; ArgentinaFil: de Torres Curth, Mónica. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; ArgentinaFil: Garibaldi, Lucas Alejandro. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Ciencias Exactas, Naturales y de Ingenieria; Argentina. Universidad Nacional de Rio Negro. Sede Andina; ArgentinaElsevier Science2013-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/8916Dondo Bühler, Mariana Beatriz; de Torres Curth, Mónica; Garibaldi, Lucas Alejandro; Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina); Elsevier Science; Landscape And Urban Planning; 110; 2-2013; 64-730169-2046enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169204612002873info:eu-repo/semantics/altIdentifier/doi/10.1016/j.landurbplan.2012.10.006info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:21:10Zoai:ri.conicet.gov.ar:11336/8916instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:21:11.142CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)
title Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)
spellingShingle Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)
Dondo Bühler, Mariana Beatriz
Fire
Patagonia
Population Density
Quantile Regression
Socioeconomic Vulnerability
Wildland-Urban Interface
title_short Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)
title_full Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)
title_fullStr Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)
title_full_unstemmed Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)
title_sort Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina)
dc.creator.none.fl_str_mv Dondo Bühler, Mariana Beatriz
de Torres Curth, Mónica
Garibaldi, Lucas Alejandro
author Dondo Bühler, Mariana Beatriz
author_facet Dondo Bühler, Mariana Beatriz
de Torres Curth, Mónica
Garibaldi, Lucas Alejandro
author_role author
author2 de Torres Curth, Mónica
Garibaldi, Lucas Alejandro
author2_role author
author
dc.subject.none.fl_str_mv Fire
Patagonia
Population Density
Quantile Regression
Socioeconomic Vulnerability
Wildland-Urban Interface
topic Fire
Patagonia
Population Density
Quantile Regression
Socioeconomic Vulnerability
Wildland-Urban Interface
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.9
https://purl.org/becyt/ford/5
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/5.7
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Despite the enormous impact of fires on human welfare, few studies evaluated the influence of demographic and socioeconomic conditions on the occurrence of vegetation fires. We used quantile regression to estimate the dependence of fire density (no. ha−1) on demographic and socioeconomic conditions for neighborhoods with contrasting fire density levels (i.e., quartiles), using data of Bariloche, a city with a large wildland–urban interface zone, as a case study. We evidenced that socioeconomic and demographic variables can explain part of the fire density's variability not explained by biophysical variables, through a principal component analysis, and examined the goodness of fit of the model to the data through the Akaike's Information Criterion. Opposite to that observed in natural areas, fire density increased in the recent years in the interface areas. Population density was positively and significantly related to interface fire density, likely representing the effect of anthropic pressure on the environment. Fire density increased with socioeconomic vulnerability, particularly, high unemployment rate, high level of teenagers that neither study nor work, and low educational levels. Therefore, population welfare and education must be the most important target for public policies, even from a fire preventive viewpoint. The demographic and socioeconomic influence on wildland–urban interface fires should be explicitly considered by policymakers, and complement biophysical data to plan land use and regulate forest management, as well as to measure the additional effort needed for firefighting (e.g., investments in infrastructure and extra workers) to attend the greater population.
Fil: Dondo Bühler, Mariana Beatriz. Universidad Nacional de Rio Negro. Sede Andina; Argentina
Fil: de Torres Curth, Mónica. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche. Laboratorio de Ecotono; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación en Biodiversidad y Medioambiente; Argentina
Fil: Garibaldi, Lucas Alejandro. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Ciencias Exactas, Naturales y de Ingenieria; Argentina. Universidad Nacional de Rio Negro. Sede Andina; Argentina
description Despite the enormous impact of fires on human welfare, few studies evaluated the influence of demographic and socioeconomic conditions on the occurrence of vegetation fires. We used quantile regression to estimate the dependence of fire density (no. ha−1) on demographic and socioeconomic conditions for neighborhoods with contrasting fire density levels (i.e., quartiles), using data of Bariloche, a city with a large wildland–urban interface zone, as a case study. We evidenced that socioeconomic and demographic variables can explain part of the fire density's variability not explained by biophysical variables, through a principal component analysis, and examined the goodness of fit of the model to the data through the Akaike's Information Criterion. Opposite to that observed in natural areas, fire density increased in the recent years in the interface areas. Population density was positively and significantly related to interface fire density, likely representing the effect of anthropic pressure on the environment. Fire density increased with socioeconomic vulnerability, particularly, high unemployment rate, high level of teenagers that neither study nor work, and low educational levels. Therefore, population welfare and education must be the most important target for public policies, even from a fire preventive viewpoint. The demographic and socioeconomic influence on wildland–urban interface fires should be explicitly considered by policymakers, and complement biophysical data to plan land use and regulate forest management, as well as to measure the additional effort needed for firefighting (e.g., investments in infrastructure and extra workers) to attend the greater population.
publishDate 2013
dc.date.none.fl_str_mv 2013-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/8916
Dondo Bühler, Mariana Beatriz; de Torres Curth, Mónica; Garibaldi, Lucas Alejandro; Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina); Elsevier Science; Landscape And Urban Planning; 110; 2-2013; 64-73
0169-2046
url http://hdl.handle.net/11336/8916
identifier_str_mv Dondo Bühler, Mariana Beatriz; de Torres Curth, Mónica; Garibaldi, Lucas Alejandro; Demography and socioeconomic vulnerability influence fire occurrence in Bariloche (Argentina); Elsevier Science; Landscape And Urban Planning; 110; 2-2013; 64-73
0169-2046
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169204612002873
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.landurbplan.2012.10.006
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
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reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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